Hamza Lasla
Impact in
- Cancer Research top 10%
- Breast Cancer Treatment Studies
- Cancer Genomics and Diagnostics
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- Cancer Immunotherapy and Biomarkers
- Cancer Cells and Metastasis
- HER2/EGFR in Cancer Research
Papers in
-
- Gene expression and cancer classification 3
- Bioinformatics and Genomic Networks 3
- Glycosylation and Glycoproteins Research 1
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- Ferroptosis and cancer prognosis 3
- Co-authors
- Pascal Jézéquel (14 shared papers)Mario Campone (10 shared papers)Wilfried Gouraud (9 shared papers)Catherine Guérin‐Charbonnel (6 shared papers)Delphine Loussouarn (3 shared papers)Véronique Verrièle (2 shared papers)Philippe Juin (5 shared papers)Catherine Guette (4 shared papers)
- Journals
- Molecular Oncology (2 papers)Breast Cancer Research (2 papers)Nature Communications (1 paper)Oncogene (1 paper)Cancers (1 paper)
- Partner nations
- FranceNetherlandsBelgium
In The Last Decade
Hamza Lasla
13 papers receiving 614 citations
Peers
Comparison fields: 5 of 64
- Cancer Research 180
- Oncology 184
- Immunology 99
- Pulmonary and Respiratory Medicine 125
- Molecular Biology 243
Countries citing papers authored by Hamza Lasla
This map shows the geographic impact of Hamza Lasla's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Hamza Lasla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hamza Lasla more than expected).
Fields of papers citing papers by Hamza Lasla
This network shows the impact of papers produced by Hamza Lasla. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Hamza Lasla. The network helps show where Hamza Lasla may publish in the future.
Co-authors
The 25 scholars most cited alongside Hamza Lasla, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 232 | |
| 2 | 2021 | 134 | |
| 3 | 2020 | 81 | |
| 4 | 2019 | 78 | |
| 5 | 2022 | 27 | |
| 6 | 2016 | 19 | |
| 7 | 2019 | 12 | |
| 8 | 2020 | 12 | |
| 9 | 2024 | 7 | |
| 10 | 2015 | 6 | |
| 11 | 2024 | 6 | |
| 12 | 2022 | 2 | |
| 13 | 2021 | 1 | |
| 14 | 2025 | 0 |
About Hamza Lasla
Hamza Lasla is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Genetics and Spectroscopy, having authored 14 papers that have together received 617 indexed citations. Recurring topics across this work include Ferroptosis and cancer prognosis (3 papers), Gene expression and cancer classification (3 papers), Bioinformatics and Genomic Networks (3 papers), Breast Cancer Treatment Studies (3 papers), Advanced Proteomics Techniques and Applications (2 papers), Glioma Diagnosis and Treatment (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Cancer Research (180 citations), Oncology (184 citations), Immunology (99 citations), Pulmonary and Respiratory Medicine (125 citations) and Molecular Biology (243 citations). Hamza Lasla has collaborated with scholars based in France, Netherlands and Belgium. Frequent co-authors include Pascal Jézéquel, Mario Campone, Wilfried Gouraud, Catherine Guérin‐Charbonnel, Delphine Loussouarn, Véronique Verrièle, Philippe Juin, Catherine Guette, L. Campion and Isabelle Valo. Their work appears in journals such as Molecular Oncology, Breast Cancer Research, Nature Communications, Oncogene and Cancers.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.